We are seeking Big Data/Data Analysis Consultants experienced in Hadoop, Python or ETL technologies for permanent roles in Germany and Latvia.

Consult, design and implement Big Data and Data Transformation solutions on Hadoop–based platforms. Create analytic and data mining algorithms to extract knowledge and meaning from vast stores of data. Refine a data processing pipeline focused on unstructured and semi-structured data. Support quick turn and rapid implementations and larger scale and longer duration analytic capability implementations.

Location: Germany and Latvia (projects across EU)

Contract type: Full time employment - EU work permit is a must.

Salary: Very interesting offering (incl. bonuses) and promotion opportunities with potential of a "fast-track" in case you are extraordinary specialist! Our customer is one of TOP employers in Europe and is willing to appreciate and support your potential and skills.

Your responsibilities:

  • Collaborate with business users and analyse customer requirements.
  • Analyze and understand customer requirements.
  • Develop BigData solutions using Hadoop and Python technologies
  • Create and manage functional & technical documentation.
  • Closely cooperate with your team and business users.
  • Provide thought leadership, best practices and standards to deliver effective solutions to clients.

Role specific requirements:

  • University degree.
  • Experience with Hadoop or ETL technologies is a plus.
  • Strong Experience with Apache Spark or Kafka is a plus.
  • Experience with Core Java, Scala, Python, R is a plus.
  • Experience on Relational Data Base Systems(SQL) and Hierarchical data management.
  • Data-modeling and implementation.
  • Experience with streaming processing is a plus.
  • Written and spoken English.

Interested in this opportunity for yourself or could you recommend me someone? Then APPLY NOW - please click on the APPLY NOW button and fill in the Application Survey. We will come back to you immediately to discuss next steps.

Looking forward to hear from you!
Jan